Extensible Dependency Grammar (XDG) is a general framework for dependency grammar, with multiple levels of linguistic representations called dimensions, e.g. grammatical function, word order, predicate-argument structure, scope structure, information structure and prosodic structure. It is articulated around a graph description language for multi-dimensional attributed labeled graphs.
An XDG grammar is a constraint that describes the valid linguistic signs as n-dimensional attributed labeled graphs, i.e. n-tuples of graphs sharing the same set of attributed nodes, but having different sets of labeled edges. All aspects of these signs are stipulated explicitly by principles: the class of models for each dimension, additional properties that they must satisfy, how one dimension must relate to another, and even lexicalization.
ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction.
L. Tang, Y. Zhang, и X. Fu. Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, стр. 58- 61. (2005)
T. Pardo, и L. Rino. Proceedings of the 3rd International Conference: Portugal for Natural Language Processing - PorTAL, том 2389 из LNAI, стр. 263-273. Faro, Portugal, (июня 2002)
T. Pardo, L. Antiqueira, M. Nunes, O. Oliveira Jr., и L. Costa. Proceedings of the International Conference on Communications, Circuits and Systems (ICCCAS'06) - Special Session on Complex Networks, стр. 2678-2682. Gui Lin, China, UESTC Press, (июня 2006)
J. Otterbacher, G. Erkan, и D. Radev. Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), стр. 915-922. Vancouver, British Columbia, Canada, Association for Computational Linguistics, (октября 2005)
V. Nastase, и S. Szpakowicz. Proceedings of TextGraphs: the Second Workshop on Graph Based Methods for Natural Language Processing, стр. 29-32. New York City, Association for Computational Linguistics, (июня 2006)
